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What You'll Learn

Master the fundamentals of artificial intelligence. Learn about the core concepts, techniques, and applications of AI, including machine learning and deep learning.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 5-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Introduction to Artificial Intelligence - Course Cover Image
Duration 5 Days
Level Foundation
Format In-Person

Course Overview

Featured

This course provides a comprehensive introduction to the field of Artificial Intelligence (AI). It covers the fundamental concepts, techniques, and applications of AI, equipping learners with the knowledge required to understand and engage with AI systems. The course explores the history of AI, core areas like machine learning, natural language processing, and robotics, and examines ethical considerations surrounding AI technology. Through theoretical lessons and practical exercises, participants will gain a solid foundation in AI and its real-world applications.

Course Duration

5 Days

Who Should Attend

  • Business leaders and managers exploring AI adoption
  • IT and data professionals seeking AI foundational knowledge
  • Project managers involved in AI projects
  • Entrepreneurs and innovators interested in AI solutions

Course Impact

Organizational Impact:

  • Identify AI-driven opportunities to improve efficiency

  • Make data-driven decisions leveraging AI insights

  • Enhance competitiveness through AI adoption

Individual Impact:

  • Gain foundational AI knowledge and technical awareness

  • Develop skills to evaluate AI tools and applications

  • Understand ethical and governance considerations

Course Objectives

By the end of this course, participants will be able to:

  • Understand the key concepts and history of Artificial Intelligence.
  • Identify the main areas and techniques of AI, including machine learning, neural networks, and natural language processing.
  • Apply basic AI techniques to solve simple problems.
  • Recognize the ethical and societal implications of AI.
  • Explore current and future trends in AI development and deployment.

Course Outline

Module 1: Introduction to AI

  • History and evolution of AI
  • Key concepts: machine learning, deep learning, NLP
  • AI applications overview
  • Case Study: AI transforming customer service in a retail company
  • Practical Exercise: Identify AI opportunities in participants’ organizations

Module 2: AI Techniques and Approaches

  • Supervised, unsupervised, and reinforcement learning
  • Neural networks and deep learning basics
  • Case Study: Fraud detection using machine learning
  • Practical Exercise: Build a simple classification model

Module 3: AI Tools and Platforms

  • Overview of popular AI frameworks (TensorFlow, PyTorch, Scikit-learn)
  • AI integration into business processes
  • Case Study: Predictive analytics in finance
  • Practical Exercise: Hands-on experiment with an AI tool

Module 4: AI Ethics and Governance

  • AI bias, fairness, and accountability
  • Data privacy and ethical considerations
  • Case Study: Ethical dilemmas in facial recognition
  • Practical Exercise: Assess ethical risks in an AI project

Module 5: Future of AI and Strategic Implementation

  • Emerging trends and technologies
  • AI adoption strategy and roadmap development
  • Case Study: AI-powered supply chain optimization
  • Practical Exercise: Draft an AI implementation plan for your organization

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 9 Jan 2026 5 days Nairobi, Kenya KES 99,000 | USD 1,400 Enroll Now
5 Jan - 9 Jan 2026 5 days Cape Town, South Africa USD 3,500 Enroll Now
5 Jan - 9 Jan 2026 5 days Dubai, United Arabs Emirates USD 4,000 Enroll Now
5 Jan - 9 Jan 2026 5 days Zanzibar, Tanzania USD 2,200 Enroll Now
12 Jan - 16 Jan 2026 5 days Mombasa, Kenya KES 115,000 | USD 1,500 Enroll Now
12 Jan - 16 Jan 2026 5 days Kigali, Rwanda USD 1,800 Enroll Now
12 Jan - 16 Jan 2026 5 days Accra, Ghana USD 5,950 Enroll Now
12 Jan - 16 Jan 2026 5 days Kampala, Uganda USD 2,200 Enroll Now
19 Jan - 23 Jan 2026 5 days Dar es Salaam, Tanzania USD 2,000 Enroll Now
19 Jan - 23 Jan 2026 5 days Johannesburg, South Africa USD 3,100 Enroll Now
19 Jan - 23 Jan 2026 5 days Nakuru, Kenya KES 105,000 | USD 1,400 Enroll Now
19 Jan - 23 Jan 2026 5 days Dakar, Senegal USD 3,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Pretoria, South Africa USD 3,100 Enroll Now
26 Jan - 30 Jan 2026 5 days Kisumu, Kenya KES 105,000 | USD 1,500 Enroll Now
26 Jan - 30 Jan 2026 5 days Naivasha, Kenya KES 105,000 | USD 1,400 Enroll Now
26 Jan - 30 Jan 2026 5 days Arusha, Tanzania USD 2,000 Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 99,000
USD 1,400
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 3,500
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 4,000
Enroll Now
5 Jan - 9 Jan 2026
5 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 2,200
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 115,000
USD 1,500
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 1,800
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 5,950
Enroll Now
12 Jan - 16 Jan 2026
5 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 2,200
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
19 Jan - 23 Jan 2026
5 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 3,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 3,100
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,500
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 105,000
USD 1,400
Enroll Now
26 Jan - 30 Jan 2026
5 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 2,000
Enroll Now

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  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to demystify AI. You'll learn the fundamental concepts, key terminology, and how to identify and apply AI-driven solutions to real-world business challenges, a key part of our focus on innovation.
AI is the broad field of creating systems that mimic human intelligence. Machine Learning is a subset of AI that uses algorithms to learn from data to make predictions and decisions.
You'll see how AI powers tools like chatbots, recommendation engines, and predictive analytics. The training will help you understand the applications in your daily work and in business operations.
No prior technical or coding experience is required. This course is for non-technical professionals who want to understand AI's potential, applications, and strategic implications for their organizations.
It will give you the knowledge to confidently discuss AI, identify opportunities, and implement new technologies. It's a key step to future-proofing your career and demonstrating adaptability to new technologies.
Training on Introduction to Artificial Intelligence

Next class starts 5 Jan 2026

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